The first step towards managing requirements from within GitLab is here! This initial release allows users to create and view requirements at a project level.
As Requirements Management evolves in GitLab, stay tuned for support for traceability between all artifacts, creating a seamless workflow to visually demonstrate completeness and compliance.
In this release, GitLab adds support for lightweight JSON Web Token (JWT) authentication to integrate with your existing HashiCorp Vault.
Now, you can seamlessly provide secrets to CI/CD jobs by taking advantage of [HashiCorp's JWT authentication method](https://www.vaultproject.io/docs/auth/jwt) rather than manually having to provide secrets as a variable in GitLab.
To help users track projects and in-flight work GitLab now enables you to report on and quickly respond to the health of individual issues and epics by showing a red, amber, or green health status on your Epic Tree.
Assign an issue a health status of **On track** (green), **Needs attention** (amber), or **At risk** (red) and see an aggregate report of health at the Epic level.
Quickly view and analyze where a collection of work is at risk so you can open up the right discussions at the right time and keep work on track!
Until now, the only way to get Jira issues into GitLab was manually, with our CSV importer, or by hand-rolling your own migration utility.
GitLab 12.10 includes an [MVC](https://about.gitlab.com/handbook/product/product-principles/#the-minimal-viable-change-mvc) to automatically import your Jira issues into GitLab. This is the first of [many planned enhancements](https://gitlab.com/groups/gitlab-org/-/epics/2738) to make transitioning from Jira to GitLab as frictionless as possible.
You can now auto-scale GitLab CI on AWS Fargate with the MVC release of GitLab’s AWS Fargate Driver.
With this new autoscaling pattern, [GitLab’s AWS Fargate driver](https://gitlab.com/gitlab-org/ci-cd/custom-executor-drivers/fargate) automatically runs each build in a separate and isolated container on Amazon’s Elastic Container Service (ECS) using a user-defined container image.
